๐ Executive Summary (TL;DR) We designed, implemented, and deployed a fully serverless intelligent document processing system leveraging Amazon Bedrock, Textract, Lambda, SQS, and OpenSearch Serverless. The entire ecosystem was orchestrated through CloudFormation in a three-tier architecture and developed using Kiro as an AI-driven development co-pilot. ๐๏ธ The Challenge: Automation at Scale The primary objective was to automate the lifecycle of thousands of documents. This required a system capable of: Autonomous Classification ๐ High-precision OCR Extraction ๐ Business Rule Validation โ
Data Persistence ๐พ Key Requirements: Asynchronous Architecture: Decoupled via SQS for durability. Cognitive Intelligence: Next-gen Generative AI reasoning. Enterprise Security: VPC isolation, WAF, and least-privilege IAM.โฆ